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DBMS > Adabas vs. AnzoGraph DB vs. JanusGraph vs. PostgreSQL

System Properties Comparison Adabas vs. AnzoGraph DB vs. JanusGraph vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelMultivalue DBMSGraph DBMS
RDF store
Graph DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlcambridgesemantics.com/­anzographjanusgraph.orgwww.postgresql.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.janusgraph.orgwww.postgresql.org/­docs
DeveloperSoftware AGCambridge SemanticsLinux Foundation; originally developed as Titan by AureliusPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release1971201820171989 info1989: Postgres, 1996: PostgreSQL
Current release2.3, January 20210.6.3, February 202316.3, May 2024
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxLinux
OS X
Unix
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesSchema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySPARQL and SPARQL* as primary query language. Cypher preview.noyes infostandard with numerous extensions
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesNaturalC++
Java
Python
Clojure
Java
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresin Naturaluser defined functions and aggregatesyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaAutomatic shardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)partitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication in MPP-ClusteryesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users and rolesUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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